{"as_of":"2026-08-10T23:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ddd6ead4abc434126e16e4a65e1b933b8aa0c68141180b16853180d3ddaa5572","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:11:38.425696Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T07:24:02.459742Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.09142","last_updated":"2024-10-29T09:13:49Z","snapshot_observed_at":"2026-08-03T15:28:30.402858Z","submitted_at":"2024-03-14T07:40:54Z","title":"USimAgent: Large Language Models for Simulating Search Users","version":2},"cited_work":{"arxiv_id":"2403.09142","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.09142","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Usimagent: Large language models for simulating search users","venue":null,"work_id":"116e81e4-c676-4a76-80e2-d52664d9481d","year":2024},"citing_paper":{"arxiv_id":"2406.12045","last_updated":"2024-06-17T19:33:08Z","snapshot_observed_at":"2026-08-08T21:08:39.676079Z","submitted_at":"2024-06-17T19:33:08Z","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-11T03:19:00.831153Z"},"links":{"cited_paper":"/paper/2403.09142","citing_paper":"/paper/2406.12045"},"observation_digest":"sha256:d12b8bf12e9d36a9bb72425a791f6ec4d58dcff5517a72b61dc805616c759f89","observation_id":"3ba39bef-7cce-4273-ba94-1989db177d09","resolution":{"observed_at":"2026-05-11T03:19:00.870946Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09142","last_updated":"2024-10-29T09:13:49Z","snapshot_observed_at":"2026-08-03T15:28:30.402858Z","submitted_at":"2024-03-14T07:40:54Z","title":"USimAgent: Large Language Models for Simulating Search Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09142","snapshot_observed_at":"2026-08-07T05:11:38.425696Z","title":"arXiv:2403.09142 [cs.IR] https://arxiv.org/abs/2403.09142","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08626","last_updated":"2025-06-11T03:47:20Z","snapshot_observed_at":"2026-08-10T10:07:58.340838Z","submitted_at":"2025-06-10T09:44:03Z","title":"Leveraging LLMs to Evaluate Usefulness of Document","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:11:38.425696Z"},"links":{"cited_paper":"/paper/2403.09142","citing_paper":"/paper/2506.08626"},"observation_digest":"sha256:c28166e43aa9b89013c127bf0df6559061a4c532f7160d8da5ed10ccbf629916","observation_id":"0b894c83-eb9f-4ec1-ace9-57753d495337","resolution":{"observed_at":"2026-08-07T05:11:38.425696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09142","last_updated":"2024-10-29T09:13:49Z","snapshot_observed_at":"2026-08-03T15:28:30.402858Z","submitted_at":"2024-03-14T07:40:54Z","title":"USimAgent: Large Language Models for Simulating Search Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09142","snapshot_observed_at":"2026-08-04T05:51:29.475706Z","title":"Usimagent: Large language models for simulating search users","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.11245","last_updated":"2026-07-31T22:23:28Z","snapshot_observed_at":"2026-08-08T21:24:42.455948Z","submitted_at":"2026-03-11T19:12:31Z","title":"Mind the Sim2Real Gap in User Simulation for Agentic Tasks","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-04T05:51:29.475706Z"},"links":{"cited_paper":"/paper/2403.09142","citing_paper":"/paper/2603.11245"},"observation_digest":"sha256:321e677db497220df8f023d1bcce99d0083e073c17f165c018f650c323173a3d","observation_id":"1a448f24-c6e8-4207-a5c4-f4873c6f0c64","resolution":{"observed_at":"2026-08-04T05:51:29.475706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09142","last_updated":"2024-10-29T09:13:49Z","snapshot_observed_at":"2026-08-03T15:28:30.402858Z","submitted_at":"2024-03-14T07:40:54Z","title":"USimAgent: Large Language Models for Simulating Search Users","version":2},"cited_work":{"arxiv_id":"2403.09142","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.09142","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Usimagent: Large language models for simulating search users","venue":null,"work_id":"116e81e4-c676-4a76-80e2-d52664d9481d","year":2024},"citing_paper":{"arxiv_id":"2605.20506","last_updated":"2026-05-19T21:23:24Z","snapshot_observed_at":"2026-08-03T04:27:59.284440Z","submitted_at":"2026-05-19T21:23:24Z","title":"Reinforcing Human Behavior Simulation via Verbal Feedback","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-21T07:21:48.649289Z"},"links":{"cited_paper":"/paper/2403.09142","citing_paper":"/paper/2605.20506"},"observation_digest":"sha256:87d532c5936910b3bb1004abf338417fcadb646b8fcb813693f21eba320c9ac8","observation_id":"2e11d43f-0bbf-4252-8ee1-668c30964874","resolution":{"observed_at":"2026-05-21T07:24:02.461660Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.09142/citation-record","integrity":"/paper/2403.09142/integrity","json":"/paper/2403.09142/citation-record.json","paper":"/paper/2403.09142"},"outbound":[],"paper":{"arxiv_id":"2403.09142","last_updated":"2024-10-29T09:13:49Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-03T15:28:30.402858Z","submitted_at":"2024-03-14T07:40:54Z","title":"USimAgent: Large Language Models for Simulating Search Users"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.09142."}